Research graph
References from An Ensemble-Based Transfer Learning Framework Using EfficientNetV2 and MobileNetV2 for Satellite Image Classification of Wildfires. Local targets link to admitted publications; unresolved targets remain external evidence.
Wildfire Dynamics in Nepal from 2000–2016
10.3126/njes.v5i0.22709 · 2017 · External reference
10.3390/w13243533
10.3390/w13243533 · External reference
Climate Change and Forest Management on Federal Lands in the Pacific Northwest, USA: Managing for Dynamic Landscapes
10.1016/j.foreco.2021.119794 · 2022 · External reference
CO2 emission trends and risk zone mapping of forest fires in subtropical and moist temperate forests of Pakistan
10.15666/aeer/1702_29833002 · 2019 · External reference
Multi-resolution monitoring of the 2023 maui wildfires, implications and needs for satellite-based wildfire disaster monitoring
10.1016/j.srs.2024.100142 · 2024 · External reference
Review on forest fires detection and prediction using deep learning and drones
2022 · External reference
Unresolved reference
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10.1007/978-3-319-52483-2
10.1007/978-3-319-52483-2 · External reference
Interpretable deep one-class model for forest fire detection
10.1016/j.eswa.2025.127657 · 2025 · External reference
10.1109/menacomm50742.2021.9678270
10.1109/menacomm50742.2021.9678270 · External reference
A hybrid of ensemble machine learning models with RFE and Boruta wrapper-based algorithms for flash flood susceptibility assessment
2023 · External reference
A novel approach for flood hazard assessment using hybridized ensemble models and feature selection algorithms
2023 · External reference
ARSMU-Net: An adaptive residual-stochastic network with uncertainty quantification for wildfire burned area prediction in Portugal’s Montesinho Natural Park
10.1016/j.asr.2026.07.076 · 2026 · External reference
10.2139/ssrn.4828934
10.2139/ssrn.4828934 · External reference
Transfer learning-based approach using new convolutional neural network classifier for steel surface defects classification
2024 · External reference
10.3390/app14041600
10.3390/app14041600 · External reference
A Systematic Review on Data Scarcity Problem in Deep Learning: Solution and Applications
10.1145/3502287 · 2022 · External reference
Tobler’s First Law in GeoAI: A Spatially Explicit Deep Learning Model for Terrain Feature Detection under Weak Supervision
2021 · External reference
A comparison review of transfer learning and self-supervised learning: Definitions, applications, advantages and limitations
10.1016/j.eswa.2023.122807 · 2024 · External reference
GeoAI for Science and the Science of GeoAI
2024 · External reference
10.1109/tgrs.2025.3642610
10.1109/tgrs.2025.3642610 · External reference
Unresolved reference
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10.36227/techrxiv.12502298.v1
10.36227/techrxiv.12502298.v1 · External reference
Using MODIS land surface temperature to evaluate forest fire risk of northeast China
10.1109/lgrs.2004.826550 · 2004 · External reference
Forest Fire Detection Using Combined Architecture of Separable Convolution and Image Processing
10.1109/caida51941.2021.9425170 · 2021 · External reference
10.1109/iceconf57129.2023.10084329
10.1109/iceconf57129.2023.10084329 · External reference
Forest Fires Detection using Deep Transfer Learning
2022 · External reference
10.3390/fire6040169
10.3390/fire6040169 · External reference
Randomly Initialized CNN with Densely Connected Stacked Autoencoder for Efficient Fire Detection
10.1016/j.engappai.2022.105403 · 2022 · External reference
GeoRisk Intelligence: Hybrid Ensemble Data-Driven Models with Recursive Feature Elimination for Landslide Susceptibility and Infrastructure Vulnerability in Uttarakhand
2025 · External reference
Ensemble of 3D densely connected convolutional network for diagnosis of mild cognitive impairment and Alzheimer’s disease
10.1016/j.neucom.2018.12.018 · 2019 · External reference
Unresolved reference
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10.1109/iccv48922.2021.00986
10.1109/iccv48922.2021.00986 · External reference
Unresolved reference
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10.52202/068431-0940
10.52202/068431-0940 · External reference
Unresolved reference
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Unresolved reference
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10.3390/electronics14081508
10.3390/electronics14081508 · External reference
Unresolved reference
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10.1109/cvpr.2018.00474
10.1109/cvpr.2018.00474 · External reference
10.3390/rs16091627
10.3390/rs16091627 · External reference
LEMOXINET: Lite ensemble MobileNetV2 and Xception models to predict plant disease
10.1016/j.ecoinf.2022.101698 · 2022 · External reference
10.1109/uemcon47517.2019.8993089
10.1109/uemcon47517.2019.8993089 · External reference
Unresolved reference
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Literature review: Efficient deep neural networks techniques for medical image analysis
10.1007/s00521-022-06960-9 · 2022 · External reference
Confusion Matrices and Rough Set Data Analysis
10.1088/1742-6596/1229/1/012055 · 2019 · External reference
A meta-stacking ensemble framework for landslide susceptibility mapping using LightGBM, Histogram Gradient Boosting and Decision Tree
2026 · External reference
Accelerating the update of a DL-based IDS for IoT using deep transfer learning
2021 · External reference
10.1109/cvpr.2019.00196
10.1109/cvpr.2019.00196 · External reference
Unresolved reference
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Detection rates and biases of fire observations from MODIS and agency reports in the conterminous United States
10.1016/j.rse.2018.10.028 · 2019 · External reference
Reduction of false alarm rate in automatic forest fire infrared surveillance systems
10.1016/s0034-4257(03)00064-6 · 2003 · External reference
Unresolved reference
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10.1109/cbms.1994.316012
10.1109/cbms.1994.316012 · External reference
Unresolved reference
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DeepFire: A Novel Dataset and Deep Transfer Learning Benchmark for Forest Fire Detection
2022 · External reference
10.3390/diagnostics13040622
10.3390/diagnostics13040622 · External reference
10.1109/incet49848.2020.9154014
10.1109/incet49848.2020.9154014 · External reference
Unresolved reference
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Unresolved reference
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Wildfire detection using transfer learning on augmented datasets
10.1016/j.eswa.2019.112975 · 2020 · External reference
Wildfire detection via transfer learning: A survey
10.1007/s11760-023-02728-3 · 2024 · External reference
10.1007/978-3-319-52483-2
10.1007/978-3-319-52483-2 · ExternalCitation · doi-reference
Literature review: Efficient deep neural networks techniques for medical image analysis
10.1007/s00521-022-06960-9 · ExternalCitation · doi-reference
Wildfire detection via transfer learning: A survey
10.1007/s11760-023-02728-3 · ExternalCitation · doi-reference
ARSMU-Net: An adaptive residual-stochastic network with uncertainty quantification for wildfire burned area prediction in Portugal’s Montesinho Natural Park
10.1016/j.asr.2026.07.076 · ExternalCitation · doi-reference
LEMOXINET: Lite ensemble MobileNetV2 and Xception models to predict plant disease
10.1016/j.ecoinf.2022.101698 · ExternalCitation · doi-reference
Randomly Initialized CNN with Densely Connected Stacked Autoencoder for Efficient Fire Detection
10.1016/j.engappai.2022.105403 · ExternalCitation · doi-reference
Wildfire detection using transfer learning on augmented datasets
10.1016/j.eswa.2019.112975 · ExternalCitation · doi-reference
A comparison review of transfer learning and self-supervised learning: Definitions, applications, advantages and limitations
10.1016/j.eswa.2023.122807 · ExternalCitation · doi-reference
Interpretable deep one-class model for forest fire detection
10.1016/j.eswa.2025.127657 · ExternalCitation · doi-reference
Climate Change and Forest Management on Federal Lands in the Pacific Northwest, USA: Managing for Dynamic Landscapes
10.1016/j.foreco.2021.119794 · ExternalCitation · doi-reference
Ensemble of 3D densely connected convolutional network for diagnosis of mild cognitive impairment and Alzheimer’s disease
10.1016/j.neucom.2018.12.018 · ExternalCitation · doi-reference
Detection rates and biases of fire observations from MODIS and agency reports in the conterminous United States
10.1016/j.rse.2018.10.028 · ExternalCitation · doi-reference
Multi-resolution monitoring of the 2023 maui wildfires, implications and needs for satellite-based wildfire disaster monitoring
10.1016/j.srs.2024.100142 · ExternalCitation · doi-reference
Reduction of false alarm rate in automatic forest fire infrared surveillance systems
10.1016/s0034-4257(03)00064-6 · ExternalCitation · doi-reference
Confusion Matrices and Rough Set Data Analysis
10.1088/1742-6596/1229/1/012055 · ExternalCitation · doi-reference
Forest Fire Detection Using Combined Architecture of Separable Convolution and Image Processing
10.1109/caida51941.2021.9425170 · ExternalCitation · doi-reference
10.1109/cbms.1994.316012
10.1109/cbms.1994.316012 · ExternalCitation · doi-reference
10.1109/cvpr.2018.00474
10.1109/cvpr.2018.00474 · ExternalCitation · doi-reference
10.1109/cvpr.2019.00196
10.1109/cvpr.2019.00196 · ExternalCitation · doi-reference
10.1109/iccv48922.2021.00986
10.1109/iccv48922.2021.00986 · ExternalCitation · doi-reference
10.1109/iceconf57129.2023.10084329
10.1109/iceconf57129.2023.10084329 · ExternalCitation · doi-reference
10.1109/incet49848.2020.9154014
10.1109/incet49848.2020.9154014 · ExternalCitation · doi-reference
Using MODIS land surface temperature to evaluate forest fire risk of northeast China
10.1109/lgrs.2004.826550 · ExternalCitation · doi-reference
10.1109/menacomm50742.2021.9678270
10.1109/menacomm50742.2021.9678270 · ExternalCitation · doi-reference
10.1109/tgrs.2025.3642610
10.1109/tgrs.2025.3642610 · ExternalCitation · doi-reference
10.1109/uemcon47517.2019.8993089
10.1109/uemcon47517.2019.8993089 · ExternalCitation · doi-reference
A Systematic Review on Data Scarcity Problem in Deep Learning: Solution and Applications
10.1145/3502287 · ExternalCitation · doi-reference
CO2 emission trends and risk zone mapping of forest fires in subtropical and moist temperate forests of Pakistan
10.15666/aeer/1702_29833002 · ExternalCitation · doi-reference
10.2139/ssrn.4828934
10.2139/ssrn.4828934 · ExternalCitation · doi-reference
Wildfire Dynamics in Nepal from 2000–2016
10.3126/njes.v5i0.22709 · ExternalCitation · doi-reference
10.3390/app14041600
10.3390/app14041600 · ExternalCitation · doi-reference
10.3390/diagnostics13040622
10.3390/diagnostics13040622 · ExternalCitation · doi-reference
10.3390/electronics14081508
10.3390/electronics14081508 · ExternalCitation · doi-reference
10.3390/fire6040169
10.3390/fire6040169 · ExternalCitation · doi-reference
10.3390/rs16091627
10.3390/rs16091627 · ExternalCitation · doi-reference
10.3390/w13243533
10.3390/w13243533 · ExternalCitation · doi-reference
10.36227/techrxiv.12502298.v1
10.36227/techrxiv.12502298.v1 · ExternalCitation · doi-reference
10.52202/068431-0940
10.52202/068431-0940 · ExternalCitation · doi-reference
